Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods
Article Status
Published
Authors/contributors
- Moore, Steven (Author)
- Nguyen, Huy A. (Author)
- Chen, Tianying (Author)
- Stamper, John (Author)
- Viberg, Olga (Editor)
- Jivet, Ioana (Editor)
- Muñoz-Merino, Pedro J. (Editor)
- Perifanou, Maria (Editor)
- Papathoma, Tina (Editor)
Title
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods
Book Title
Responsive and Sustainable Educational Futures
Volume
14200
Date
2023
Publisher
Springer Nature Switzerland
Place
Cham
Pages
229-245
ISBN
978-3-031-42681-0 978-3-031-42682-7
Citation Key
moore2023
Accessed
13/11/2023, 18:44
Language
en
Library Catalogue
DOI.org (Crossref)
Extra
Series Title: Lecture Notes in Computer Science
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:10.101Z
Citation
Moore, S., Nguyen, H. A., Chen, T., & Stamper, J. (2023). Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods. In O. Viberg, I. Jivet, P. J. Muñoz-Merino, M. Perifanou, & T. Papathoma (Eds.), Responsive and Sustainable Educational Futures (Vol. 14200, pp. 229–245). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-42682-7_16
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